Weicheng Wu
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune cells in cancer
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Ubiquitin and proteasome pathways 3
- Sphingolipid Metabolism and Signaling 3
- Immunology 13
- Galectins and Cancer Biology 5
- Atherosclerosis and Cardiovascular Diseases 4
- Immune cells in cancer 3
- Co-authors
- Raymond D. Mosteller (3 shared papers)Daniel Broek (3 shared papers)Xiaodong Shu (2 shared papers)Jianxin Gu (20 shared papers)Shushu Song (12 shared papers)Yuanyuan Ruan (9 shared papers)Hao Wu (8 shared papers)Peike Peng (10 shared papers)
- Journals
- Scientific Reports (4 papers)Cellular Signalling (3 papers)Oncotarget (2 papers)Molecular and Cellular Biology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Weicheng Wu
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Immunology 395
- Cancer Research 252
- Cell Biology 204
- Molecular Biology 852
- Oncology 167
Countries citing papers authored by Weicheng Wu
This map shows the geographic impact of Weicheng Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weicheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weicheng Wu more than expected).
Fields of papers citing papers by Weicheng Wu
This network shows the impact of papers produced by Weicheng Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weicheng Wu. The network helps show where Weicheng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weicheng Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 250 | |
| 2 | 2017 | 171 | |
| 3 | 2003 | 126 | |
| 4 | 2018 | 87 | |
| 5 | 2019 | 70 | |
| 6 | 2004 | 67 | |
| 7 | 2016 | 54 | |
| 8 | 2016 | 50 | |
| 9 | 2012 | 48 | |
| 10 | 2020 | 42 | |
| 11 | 2017 | 42 | |
| 12 | 2017 | 39 | |
| 13 | 1999 | 33 | |
| 14 | 2012 | 30 | |
| 15 | 2013 | 30 | |
| 16 | 2015 | 29 | |
| 17 | 2018 | 25 | |
| 18 | 2016 | 23 | |
| 19 | 2016 | 20 | |
| 20 | 2015 | 16 |
About Weicheng Wu
Weicheng Wu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Cell Biology, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), HIV Research and Treatment (4 papers), Ubiquitin and proteasome pathways (3 papers), Immune cells in cancer (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Immunology (395 citations), Cancer Research (252 citations), Cell Biology (204 citations), Molecular Biology (852 citations) and Oncology (167 citations). Weicheng Wu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Raymond D. Mosteller, Daniel Broek, Xiaodong Shu, Jianxin Gu, Shushu Song, Yuanyuan Ruan, Hao Wu, Peike Peng, Miaomiao Shao and Lan Wang. Their work appears in journals such as Scientific Reports, Cellular Signalling, Oncotarget, Molecular and Cellular Biology and Biochemical and Biophysical Research Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.